Data Scientist in a Data Privacy Startup (English)

Sarus Technologies is hiring!

About

Open Knowledge, Protect Data

Sarus software lets data scientists and business analysts work on sensitive data without accessing the data directly. They can carry on their work as usual, from database analyses to AI models with complex machine learning training, without risking any sensitive piece of information.

Sarus implements differential privacy to guarantee that analysis results do not embed personal information and that individual reidentification is impossible.

Job Description

The mission

To build our learning algorithms and develop practical approaches to differential privacy we are looking for data scientists whose missions will be:

  • to develop techniques allowing effective learning under the constraint of differential privacy,
  • to develop new synthetic data approaches,
  • to develop applications with our customers,
  • to do scientific and technical monitoring and to participate in the intellectual life of society and more broadly of the data-science / privacy community,
  • to participate in Sarus scientific communication. You will work under the direction of our Chief of Science (CSO) in connection with our Technical Director (CTO), and in close connection with our CEO.

Sarus would bring you:

  • strong responsibilities and a lot of daily impact,
  • a stimulating and constructive work atmosphere,
  • a culture of applied research and development,
  • an exciting mission within a young, fast-growing startup.

Preferred Experience

Your profile

Coming from a major engineering school, another leading institution, or benefiting from professional experience proving your excellence in applied mathematics and machine learning.

You have solid knowledge in:

  • probability theory,
  • statistical modeling,
  • optimization,
  • machine learning,
  • algorithmic, data structures.

You have experience in python and java programming.
You know :

  • development under Unix,
  • SQL,
  • Spark or Hadoop,
  • Scikit Learn or other ML library,
  • Tensorflow or Pytorch. You preferably have experience in all stages of development and production of a machine learning model. A mastery of GCP or AWS is a plus.

Finally, you demonstrate:

  • motivation and desire to learn (openness to constructive criticism, to feedback),
  • openness to others and sense of mutual aid,
  • interest in products and more generally Sarus' mission,
  • and you can work in English.

Recruitment Process

Application and recruitment process

To apply, please send your CV to careers@sarus.tech with a short (3 lines max) introduction and motivation email.
The process takes place in 3 stages:

  • telephone discussion to get to know each other,
  • problem to solve at home,
  • CSO interview, technical tests and meeting with the whole team.

Additional Information

  • Contract Type: Full-Time
  • Location: Paris, France (75008)
  • Education Level: Master's Degree
  • Possible partial remote